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This book introduces novel methods and approaches for semantic integration. In addition to developing ground-breaking new methods for ontology alignment, the author provides extensive explanations of up-to-date case studies. It includes a thorough investigation of the foundations and provides pointers to future steps in ontology alignment with conclusion linking this work to the knowledge society.
The book constitutes the proceedings for the First International Conference on Breaking Barriers with Generative Intelligence, BBGI 2024, held in Thessaloniki, Greece, on June 10, 2024. This Workshop is part of the 20th International Conference on Intelligent Tutoring Systems (ITS2024) which was held in Thessaloniki, from June 10 to June 13, 2024. The 19 full papers and 1 short paper included in this volume were carefully reviewed and selected from a total of 24 submissions. Breaking Barriers with Generative Intelligence delves into how GI in AI improves human education and well-being. This interdisciplinary event brought together professionals from academia, industry, and government to address AI ethics, human-AI interaction, and the societal implications of GI. Participants learned to tackle social concerns and promote diversity in research and development through keynote presentations, panel discussions, and interactive workshops.
This book constitutes the refereed proceedings of the 19th International Conference on Augmented Intelligence and Intelligent Tutoring Systems, ITS 2023, held in Corfu, Greece, during June 2-5, 2023. The 41 full papers and 19 short papers presented in this book were carefully reviewed and selected from 84 submissions. The papers are divided into the following topical sections: augmented intelligence in tutoring systems; augmented intelligence in healthcare informatics; augmented intelligence in games, serious games and virtual reality; neural networks and data mining; augmented intelligence and metaverse; security, privacy and ethics in augmented intelligence; and applied natural language processing.
This book constitutes the refereed proceedings of the 27th International Symposium on String Processing and Information Retrieval, SPIRE 2021, held in Lille, France, in October 2021.* The 14 full papers and 4 short papers presented together with 2 invited papers in this volume were carefully reviewed and selected from 30 submissions. They cover topics such as: data structures; algorithms; information retrieval; compression; combinatorics on words; and computational biology. *The symposium was held virtually.
This volume constitutes poster papers and late breaking results presented during the 25th International Conference on Artificial Intelligence in Education, AIED 2024, which took place in Recife, Brazil, during July 8–12, 2024. The 18 full papers and 92 short papers were carefully reviewed and selected from 200 submissions. They are organized in topical sections as follows: Part One: Blue Sky, Industry, Innovation and Practitioner, WideAIED and Late-Breaking Results. Part Two: Late-Breaking Results, Doctoral Consortium, Workshops and Tutorials.
Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way, Data Classification: Algorithms and Applications explores the underlyi
The Fifth SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation and discussion of innovative algorithms as well as novel applications of data mining. Advances in information technology and data collection methods have led to the availability of large data sets in commercial enterprises and in a wide variety of scientific and engineering disciplines. The field of data mining draws upon extensive work in areas such as statistics, machine learning, pattern recognition, databases, and high performance computing to discover interesting and previously unknown information in data. This conference results in data mining, including applications, algorithms, software, and systems.
The general objectives of this study were: to develop a quantitative picture of the changing population distribution in six selected urban regions (Halifax, Montreal, Toronto, Winnipeg, Calgary, and Vancouver); to identify the principal infrastructure and land use planning issues associated with the changing population patterns in those regions, based on the perceptions and experiences of senior planning professionals; and to identify the policies and strategies developed by regional and municipal governments, and to ascertain perceptions of their success. The report first describes overall patterns of urban growth and interprets the patterns based on a conceptual model of the evolution of an urban-centred region. It then turns attention to the six urban regions, discussing governmental structure, patterns of change, perceptions of issues, and strategies, with discussion centred around a core (usually urban core and suburbs combined) and rural-urban fringe differentiation. Issues and strategies are then synthesized and conclusions are presented concerning critical components for tackling the management of municipalities in the context of changing urban regions.
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